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| Criterion |  Operations Scatter Diagram |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|
Purposedifferent | When the question is whether two measures are related, the method makes patterns in the data picture visible. It separates felt correlations from relationships that actually show up in the data. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Low | High | Low |
Timedifferent | 30-90 min | 1-4 Wochen | 30-60 min |
Participantsdifferent | 1-4 | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Root causeQualityVisualization | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |
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